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|Title:||NRRO rejection using online iterative control for high density data storage on a PC-based spinstand servo system||Authors:||Pang, C.K.
|Keywords:||HDD (Hard-Disk Drives)
SSW (Self Servotrack Writing)
STW (Servo Track Writing)
|Issue Date:||2007||Citation:||Pang, C.K.,Wong, W.E.,Guo, X.,Chen, B.M.,Lee, T.H. (2007). NRRO rejection using online iterative control for high density data storage on a PC-based spinstand servo system. Proceedings of the American Control Conference : 1514-1520. ScholarBank@NUS Repository. https://doi.org/10.1109/ACC.2007.4282238||Abstract:||In this paper, an OICA (Online Iterative Control Algorithm) by setting measured PES (Position Error Signal) into the servo system to achieve high track densities through minimizing the square of the ℋ2 -norm of the transfer function from NRRO (Non-Repeatable Run-Out) disturbance sources to true PES is proposed without having to solve any AREs (Algebraic Riccati Equations) and LMIs (Linear Matrix Inequalities). An online RRO (Repeatable Run-Out) estimator is constructed to extract NRRO components for gradient estimates, hence preventing the controller parameters from being trapped in a local minima. Experimental results on a PC-based servo system for a spinstand  show an improvement of 22% in 3σ NRRO and suppression of baseline NRRO spectrum. ©2007 IEEE.||Source Title:||Proceedings of the American Control Conference||URI:||http://scholarbank.nus.edu.sg/handle/10635/84027||ISBN:||1424409888||ISSN:||07431619||DOI:||10.1109/ACC.2007.4282238|
|Appears in Collections:||Staff Publications|
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